Optimized biochemical method for human Polyphosphate quantification
Autor/a
Data de publicació
2025ISSN
1046-2023
Resum
Polyphosphate (polyP), a biopolymer composed of phosphates, impacts a wide range of biological functions and pathological conditions in all organisms. However, polyP’s intricate physiology and structure in human cells have remained elusive, largely due to the lack of a reliable quantification method including its extraction. In this study, we assess critical points in the whole process: extraction, purification, and quantification polyP from human cell lines. We developed a highly efficient method that extracts between 3 and 100 times more polyP than previously achieved. Supported by Nuclear Magnetic Resonance (NMR), our approach confirms that mammalian polyP is primarily a linear unbranched polymer. We applied the optimized method to commonly used human cell lines, uncovering important variations of intracellular polyP that correlate with the expression levels of specific polyP converting enzymes. This study underscores the importance of employing several techniques for polyP characterization in parallel and provides a valuable and standardized tool for further exploration in this field.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
Anglès
Matèries (CDU)
6 - Ciències aplicades
Paraules clau
Pàgines
11
Publicat per
Elsevier
Col·lecció
234
Publicat a
Methods
Citació recomanada
Lázaro, Blanca; Sarrias, Ana; Tadeo, Francisco J. [et al.]. Optimized biochemical method for human Polyphosphate quantification. Methods, 2025, 234, p. 211-222. Disponible en: <https://www.sciencedirect.com/science/article/pii/S1046202325000015>. Fecha de acceso: 10 feb. 2025. DOI: 10.1016/j.ymeth.2025.01.001
Nota
We thank Miguel Ángel Rodríguez from the Metabolomics facility of the Centre for Omic Sciences (COS) Joint Unit (Universitat Rovira i Virgili-Eurecat) for helping with the NMR analysis. David Sánchez and Sebastian Zagmut (Universitat Internacional de Catalunya UIC) for providing the rat brain samples. Nuria Masip, Marta Perez and Meritxell Martínez (UIC) for lab technical assistance This work was supported by and is part of the I + D + i grant ref. PID2021-127302NB-I00 (to J.C. and J.J.) by the Spanish Ministerio de Ciencia e Innovación (MCIN). HJJ was supported by the German Research Foundation (DFG) under Germany’s excellence strategy (CIBSS-EXC-2189-Project ID 390939984 to HJJ) and by the VW Foundation (Experiment!AZ92270).
Aquest element apareix en la col·lecció o col·leccions següent(s)
- Ciències de la Salut [973]
Drets
© 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Excepte que s'indiqui una altra cosa, la llicència de l'ítem es descriu com http://creativecommons.org/licenses/by/4.0/

